The effect of precipitation on vegetation cover over three landscape units in a protected semi-arid grassland: Temporal dynamics and suitable climatic index

Journal of Arid Environments

Volumn 109, Issue , 2014, Pages 74-82

  He, Yuhong ^a  

^a UNIVERSITY OF TORONTO   (Canada)

Author keywords

AVHRR NDVI; Climatic index; Grassland landscape units; Precipitation; Semi arid grassland; SPOT4 image

Indexed keywords

AVHRR; BIOLOGICAL PRODUCTION; GRASSLAND; INDEX METHOD; NDVI; PHYTOMASS; PRECIPITATION (CLIMATOLOGY); SATELLITE IMAGERY; SEMIARID REGION; SPOT; TEMPORAL VARIATION; VEGETATION COVER;

EID: 84902472012     PISSN: 01401963     EISSN: 1095922X     Source Type: Journal    
DOI: 10.1016/j.jaridenv.2014.05.022     Document Type: Article

References (37)

1. Adair M., Cihlar J., Park B., Fedosejevs G., Erickson A., et al. GeoComp-n, an advanced system for generating products from coarse- and mediumresolution optical satellite data. Part 1: system characterization. Can. J. Remote Sens. 2002, 28:1-20.
2. Akinremi O.O., McGinn S.M., Barr A.G. Evaluation of the Palmer drought index on the Canadian Prairies. J.Clim. 1996, 9:897-905.
3. Andales A.A., Derner J.D., Ahuja L.R., Hart R.H. Strategic and tactical prediction of forage production in northern mixed-grass prairie. Rangeland Ecol. Manage. 2006, 59:576-584.
4. Archibald S., Scholes R.J. Leaf green-up in a semi-arid African savanna -separating tree and grass responses to environmental cues. J.Veg. Sci. 2007, 18:583-594. 10.1111/j.1654-1103.2007.tb02572.x.
5. Davidson A., Csillag F. Acomparison of three approaches for predicting C4 species cover of northern mixed grass prairie. Remote Sens. Environ. 2003, 86:70-82.
6. Derner J.D., Hess B.W., Olson R.A., Schuman G.E. Functional group and species responses to precipitation in three semi-arid rangeland ecosystems. Arid Lands Res. Manage. 2008, 22:81-92.
7. Derner J.D., Hickman K.R., Polley.H.W. Decreasing precipitation variability does not elicit major aboveground biomass or plant diversity responses in a mesic rangeland. Rangeland Ecol. Manage. 2011, 64:352-357.
8. He Y., Guo X., Si B.C. Detecting grassland spatial variation by a wavelet approach. Int. J. Remote Sens. 2007, 28:1527-1545.
9. He Y., Guo X., Wilmshurst J. Reflectance measures of grassland biophysical structure. Int. J. Remote Sens. 2009, 30(10):2509-2521.
10. Heim R.R. Areview of twentieth-century drought indices used in the United States. Bull. Am. Meteor. Soc. 2002, 83:1149-1165.
11. Hogg E.H. Temporal scaling of moisture and the forest-grassland boundary in western Canada. Agric. For. Meteorol. 1997, 84:115-122.
12. Hunt E.R., Everitt J.H., Ritchie J.C., Moran M.S., Booth D.T., Anderson G.L., Clark P.E., Seyfried M.S. Applications and research using remote sensing for rangeland management. Photogramm. Eng. Remote Sens. 2003, 69:675-693.
13. Keyantash J., Dracup J. The quantification of drought: an evaluation of drought indices. Bull. Am. Meteor. Soc. 2002, 83:1167-1180.
14. Landsberg J., Lavorel S., Stol J. Grazing response groups among understorey plants in arid rangelands. Journal of Vegetation Science 1999, 10:683-696.
15. Li Z., Guo X. Detecting climate effects on vegetation in northern mixed prairie using NOAA AVHRR 1-km time-series NDVI Data. Remote Sens. 2012, 4(1):120-134.
16. Liang E.Y., Vennetier M., Lin J.X., Shao X.M. Relationships between tree increment, climate and above-ground biomass of grass: a case study in the typical steppe, North China. Acta Oecol. 2003, 24:87-94.
17. McGinn S.M. Weather and climate patterns in Canada's prairie grasslands. Ecology and Interactions in Grassland Habitats 2010, vol. 1:105-119. Biological Survey of Canada, Ottawa, Ontario. J.D. Shorthouse, K.D. Floate (Eds.).
18. McKee T.B.N., Doesken J., Kleist J. The relationship of drought frequency and duration to time scales. Proceedings of the Eighth Conference on Applied Climatology 1993, 179-184. American Meteorological Society, Anaheim, CA.
19. Mishra A.K., Singh V.P. Areview of drought concepts. J.Hydrol. 2010, 391:202-216.
20. Michalsky S.J., Ellis R.A. Vegetation of Grasslands National Park 1994, D.A. Westworth and Associates Ltd., Calgary AB.
21. Narasimhan B., Srinivasan R. Development and evaluation of soil moisture deficit index and evapotranspiration deficit index for agricultural drought monitoring. Agric. For. Meteorol. 2005, 133:69-88.
22. Palmer W.C. Meteoroogical drought. Research Paper 45 1965, 58. U. S. Weather Bureau, Washington, D.C.
23. Palmer W.C. Keeping track of crop moisture conditions, nationwide: the crop moisture index. Weatherwise 1968, 21:156-161.
24. Parks Canada Restoring Grazing-Induced Heterogeneity in Grasslands National Park of Canada: Large-Scale Experiment and Long-term Monitoring Plan 2006, Grasslands National Park of Canada.
25. Parton W.J., Scurlock J.M.O., Ojima D.S., Schimel D.S., Hall D.O., SCOPEGRAM Group Members Impact of climate change on grassland production and soil carbon worldwide. Global Change Biol. 1995, 1:13-22.
26. Pennington D.D., Collins S.L. Response of an aridland ecosystem to interannual climate variability and prolonged drought. Landsc. Ecol. 2007, 22:897-910.
27. Quiring S.M., Papakyriakou T.N. An evaluation of agricultural drought indices for the Canadian prairies. Agric. For. Meteorol. 2003, 118:49-62.
28. Quiring S.M. Growing-Season Moisture Variability in the Eastern USA During the Last 800 Years. Climate Research 2004, 27:9-17.
29. Sauchyn D.J. Prairie climate trends and variability. The New Normal: The Canadian Prairies in a Changing Climate 2010, CPRC Press, Regina, SK, (Chapter 3). D.J. Sauchyn, H. Diaz, S. Kulshreshtha (Eds.).
30. Stow D.A., Hope A., McGuire D., Verbyla D., Gamon J., Huemmrich F., Houston S., et al. Remote sensing of vegetation and land-cover change in arctic tundra ecosytems. Remote Sens. Environ. 2004, 89:281-308.
31. Sun L., Mitchell S.W., Davidson A. Multiple drought indices for agricultural drought risk assessment on the Canadian prairies. Int. J. Climatol. 2011, 10.1002/joc.2385.
32. Thornthwaite C.W. An approach toward a rational classification of climate. Geogr. Rev. 1948, 38:55-94. 10.2307/210739.
33. Vapnik V. The Nature of Statistical Learning Theory 1995, Springer-Verlag.
34. Wu C., Chen J.M. The use of precipitation intensity in estimating gross primary production in four northern grassland. J.Arid Environ. 2012, 82:11-18.
35. Yang Y.H., Fang J.Y., Li C.J. Aboveground biomass in Tibetan grassland. J.Arid Environ. 2009, 73:91-95.
36. Zhang C. Monitoring Biological Heterogeneity in a Northern Mixed Prairie Using Hierarchical Remote Sensing Methods 2006, PhD thesis, University of Saskatchewan, Saskatchewan.
37. Zhang C., Guo X. Monitoring northern mixed grassland health using broadband satellite imagery. Int. J. Remote Sens. 2008, 29:2257-2271.